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How strong was the bottleneck associated to the peopling of the Americas? New insights from multilocus sequence data

Overview of attention for article published in Genetics and Molecular Biology, January 2018
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Title
How strong was the bottleneck associated to the peopling of the Americas? New insights from multilocus sequence data
Published in
Genetics and Molecular Biology, January 2018
DOI 10.1590/1678-4685-gmb-2017-0087
Pubmed ID
Authors

Nelson J.R. Fagundes, Alice Tagliani-Ribeiro, Rohina Rubicz, Larissa Tarskaia, Michael H. Crawford, Francisco M. Salzano, Sandro L. Bonatto

Abstract

In spite of many genetic studies that contributed for a deep knowledge about the peopling of the Americas, no consensus has emerged about important parameters such as the effective size of the Native Americans founder population. Previous estimates based on genomic datasets may have been biased by the use of admixed individuals from Latino populations, while other recent studies using samples from Native American individuals relied on approximated analytical approaches. In this study we use resequencing data for nine independent regions in a set of Native American and Siberian individuals and a full-likelihood approach based on isolation-with-migration scenarios accounting for recent flow between Asian and Native American populations. Our results suggest that, in agreement with previous studies, the effective size of the Native American population was small, most likely in the order of a few hundred individuals, with point estimates close to 250 individuals, even though credible intervals include a number as large as ~4,000 individuals. Recognizing the size of the genetic bottleneck during the peopling of the Americas is important for determining the extent of genetic markers needed to characterize Native American populations in genome-wide studies and to evaluate the adaptive potential of genetic variants in this population.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 7 15%
Student > Bachelor 5 10%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Other 8 17%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 33%
Biochemistry, Genetics and Molecular Biology 10 21%
Social Sciences 6 13%
Arts and Humanities 3 6%
Earth and Planetary Sciences 1 2%
Other 2 4%
Unknown 10 21%